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Sara H. Basson

dblp:21/6219 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 50% Interaction techniques and input · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › cognitive accessibility
low-literate users
0.212013
Community-oriented spoken web browser for low iiterate users · CSCW 2013

Methods — techniques the papers use, named apart from their topics

task-based evaluation · 0.2field study · 0.2
YearPublicationVenuePosition
2020 Breaking Boundaries with Live Transcribe: Expanding Use Cases Beyond Standard Captioning Scenarios
abstract
In this paper, we explore non-traditional, serendipitous uses of an automatic speech recognition (ASR) application called Live Transcribe. Through these, we are able to identify interaction use cases for developing further technology to enhance the communication capabilities of deaf and hard of hearing people.
Fernando Loizides, Sara H. Basson, Dimitri Kanevsky, Olga Prilepova, Sagar Savla, Susanna Zaraysky
ASSETS2
2013 Community-oriented spoken web browser for low iiterate users
abstract
Heavy penetration of mobile devices in rural areas enables access to information services to low-literate users. While connectivity solves a major issue, concepts such as browsing and searching are not intuitive to such users. This paper presents the design of a multimodal (speech+icons) voice browser for low-literate users in rural India. We conducted a field study to determine their current communication styles and preferences. Based on this, we designed three browsers, each influenced by a specific way of communicating -- persona based roles, storytelling and direct interaction. The prototypes were evaluated in a task-based study with 62 low-literate users and were compared with a baseline Interactive Voice Response (IVR) browser. Our results suggest that there is clear acceptance and understanding of the necessary concepts if the browser is designed using the design constructs of persona based roles and storytelling.
Mahelaqua, Sara H. Basson, Nitendra Rajput, Kundan Srivastava, John C. Thomas
CSCW2
2008 Methods to optimize transcription of on-line media
Sarah Conrod, Sara H. Basson, Dimitri Kanevsky
INTERSPEECH2
2002 Speech recognition in university classrooms: liberated learning project
abstract
The LIBERATED LEARNING PROJECT (LLP) is an applied research project studying two core questions: 1) Can speech recognition (SR) technology successfully digitize lectures to display spoken words as text in university classrooms? 2) Can speech recognition technology be used successfully as an alternative to traditional classroom notetaking for persons with disabilities? This paper addresses these intriguing questions and explores the underlying complex relationship between speech recognition technology, university educational environments, and disability issues.
Keith Bain, Sara H. Basson, Mike Wald
ASSETS2